方法对比

	时间切片式科学计量分析	共词分析
领域	科学计量学	科学计量学
方法族	Process / pipeline	Process / pipeline
起源年份	1980s–1990s	1983
提出者	Derived from scientometrics tradition; temporal slicing formalized in longitudinal bibliometric studies from the 1980s onward	Michel Callon, Jean-Pierre Courtial, and colleagues
类型	Quantitative longitudinal analysis	Scientometric network analysis technique
开创性文献	Small, H. (1999). Visualizing science by citation mapping. Journal of the American Society for Information Science, 50(9), 799-813.	Callon, M., Courtial, J. P., Turner, W. A., & Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22(2), 191–235.
别名	temporal scientometrics, period-based scientometric analysis, time-window scientometrics, longitudinal scientometric analysis	keyword co-occurrence analysis, co-word mapping, keyword co-word network, CWA
相关	6	6
摘要	Time-sliced scientometric analysis divides a bibliographic corpus into discrete temporal windows — commonly five- or ten-year periods — and applies standard scientometric indicators (publication counts, citation rates, h-index, collaboration networks, keyword co-occurrence) within each slice. By comparing results across slices, researchers can reconstruct how a scientific field has grown, shifted focus, formed new collaborations, or declined in influence over time. The approach combines the rigor of quantitative scientometrics with an explicit longitudinal dimension.	Co-word analysis is a scientometric technique that quantifies how often pairs of keywords, subject terms, or title words appear together across a corpus of publications. By treating simultaneous occurrence as a proxy for conceptual relatedness, it constructs networks and clusters that reveal the intellectual structure, dominant themes, and emerging sub-fields of a research domain.